A platform for the discovery, learning and practice of knowledge

The Cognitive-Engine (CE) is a self-learning, self-regulating platform that adopts insights from cognitive science, embodied learning, social-emotional learning and andragogy. Our platform design and engineering principles provide for seamless experience, across all devices.

Why the Cognitive-Engine?


The Cognitive-Engine (CE) is designed to increase the ubiquity, the pace, and the quality of both learning and development. Our unique platform features enhances knowledge building, by strengthening neural pathways through self-learning and self-policing. It removes the anxiety of competition and advertising and focus upon customised, instant user feedback. It drives focused learning and development outcomes, by harnessing specific cognitive biases.

Specific features of the Cognitive-Engine


The CE adopts very specific lessons from scientific research, engineering these into our platform. We draw our design from specifically diverse scientific fields to ensure we remove traditional barriers to learning and development. Typically the niche areas includes adopting principles form cognition, neuro-psychology, complex adaptive systems, etc.

Critical-map power - combined artefacts, are organised and used around cognitive themes to activate creative & analytical hemispheres, yielding enriched multi-sensory inputs (words, images, numbers, logic, rhythm, colour and spatial awareness);

Timed repetition to strengthen recall, via our question and answer algorithms that galvanise recall, linked to pruning (neural plasticity);

Increasing meta-cognitive faculties. By revealing answers, learners are stimulated to compare their answers, acting as self-reflection or meta-cognition which is known to deepen memories.

Adaptive cards are deployed using smart algorithms designed to reinforce confidence and memorisation of knowledge. This is enhanced via self-learning and self-policing or self-testing.

Personalised learning occurs more readily by self-adjustment algorithms that adapts to individual learner responses. It allows for smart-scheduled learning, by repeating worst score first and best score last.

Globally federated learning model allow individuals and institutions to reach all audiences, across all devices, using multi-media (words, images, sound, video, etc.);

Benefits of the Cognitive-Engine


How the Cognitive-Engine enables educators, learners, and practitioners


We offer an intelligent, self-learning platform that allows institutions of learning, educators, subject-matter-experts, and content providers a unique opportunity to impart their coursework and knowledge. It is an innovation that allows for decentralised, federated forms of collaboration that facilitates:
  • Distributed and networked learning and development, allowing access to content at anyplace, anytime, and any device;
  • Down-loadable and exportable content for use and application at work, or on projects allowing reference-rich use of knowledge applied into documents, emails, texts, etc.;
  • Referenced and curated material that can be further researched, to ensure we support a deliberate agnotological imperative allowing for critical review of sources and references for further exploration;
  • Enabling and creating communities-of-practice – allowing users, learners, educators and institutions to create and share their Intellectual Property and knowledge via custom decks;
  • Evolutionary algorithms designed to maximise learning, absorption and recall;
Since life-long learning is vital for all, we designed the Cognitive-Engine to be at the fingertips of all people. Institutions spend billions of Dollars on learning and development programs to empower individuals, the CE platform enhances this very important commitment by encouraging individuals to learn, apply, and create habits of practice to strengthen neural pathways.
Our engine removes much of the classic burdens of accessing material, by having knowledge available, and instantly accessible at any time and place. Research shows people are likely to create new, positive habits, if the steps and time involved, are reduced, to enable new habits (Orbell and Verplanken, 2010). Our instant feedback is designed to maximise the Dopamine effect that flow from self-validation, reminders, checkpoints and dashboards (Zald et al., 2004). These subtleties are built into our AI engine, stimulating confidence and recall by strengthening neural pathways, yielding a superior learner experience.

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